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---
library_name: peft
license: gemma
base_model: google/gemma-3-1b-it
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_cola_1744902668
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# train_cola_1744902668
This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) on the cola dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1678
- Num Input Tokens Seen: 31253176
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.3
- train_batch_size: 4
- eval_batch_size: 4
- seed: 123
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- training_steps: 40000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-------:|:-----:|:---------------:|:-----------------:|
| 0.1892 | 0.4158 | 200 | 0.1759 | 156832 |
| 0.1761 | 0.8316 | 400 | 0.1766 | 313248 |
| 0.1908 | 1.2474 | 600 | 0.1760 | 469520 |
| 0.1916 | 1.6632 | 800 | 0.1733 | 625360 |
| 0.2106 | 2.0790 | 1000 | 0.2431 | 782304 |
| 0.1766 | 2.4948 | 1200 | 0.1769 | 938560 |
| 0.1824 | 2.9106 | 1400 | 0.1802 | 1094144 |
| 0.1715 | 3.3264 | 1600 | 0.1725 | 1250544 |
| 0.1738 | 3.7422 | 1800 | 0.1740 | 1407440 |
| 0.1712 | 4.1580 | 2000 | 0.1722 | 1563512 |
| 0.1908 | 4.5738 | 2200 | 0.1778 | 1719064 |
| 0.1939 | 4.9896 | 2400 | 0.1738 | 1875384 |
| 0.1686 | 5.4054 | 2600 | 0.1725 | 2031440 |
| 0.2206 | 5.8212 | 2800 | 0.1757 | 2187952 |
| 0.1866 | 6.2370 | 3000 | 0.1879 | 2344864 |
| 0.195 | 6.6528 | 3200 | 0.1778 | 2500448 |
| 0.1815 | 7.0686 | 3400 | 0.1770 | 2656400 |
| 0.2141 | 7.4844 | 3600 | 0.1975 | 2812912 |
| 0.1898 | 7.9002 | 3800 | 0.1730 | 2968816 |
| 0.1875 | 8.3160 | 4000 | 0.1763 | 3124448 |
| 0.1849 | 8.7318 | 4200 | 0.1751 | 3280320 |
| 0.1759 | 9.1476 | 4400 | 0.1704 | 3437072 |
| 0.1862 | 9.5634 | 4600 | 0.1741 | 3593520 |
| 0.1744 | 9.9792 | 4800 | 0.1727 | 3750544 |
| 0.1889 | 10.3950 | 5000 | 0.1786 | 3905920 |
| 0.1979 | 10.8108 | 5200 | 0.1741 | 4063008 |
| 0.3261 | 11.2266 | 5400 | 0.2146 | 4219472 |
| 0.2037 | 11.6424 | 5600 | 0.1849 | 4376048 |
| 0.2023 | 12.0582 | 5800 | 0.1837 | 4531752 |
| 0.1861 | 12.4740 | 6000 | 0.1730 | 4687112 |
| 0.1808 | 12.8898 | 6200 | 0.1733 | 4843464 |
| 0.1634 | 13.3056 | 6400 | 0.1743 | 4999648 |
| 0.1949 | 13.7214 | 6600 | 0.1838 | 5157152 |
| 0.1732 | 14.1372 | 6800 | 0.1745 | 5312328 |
| 0.1911 | 14.5530 | 7000 | 0.1755 | 5468680 |
| 0.1892 | 14.9688 | 7200 | 0.1737 | 5624776 |
| 0.1809 | 15.3846 | 7400 | 0.1740 | 5782032 |
| 0.1398 | 15.8004 | 7600 | 0.1886 | 5938000 |
| 0.1898 | 16.2162 | 7800 | 0.1742 | 6094536 |
| 0.2028 | 16.6320 | 8000 | 0.1770 | 6250760 |
| 0.1852 | 17.0478 | 8200 | 0.1751 | 6406616 |
| 0.2004 | 17.4636 | 8400 | 0.1750 | 6563416 |
| 0.1864 | 17.8794 | 8600 | 0.1751 | 6719288 |
| 0.1946 | 18.2952 | 8800 | 0.1763 | 6875592 |
| 0.1888 | 18.7110 | 9000 | 0.1749 | 7032392 |
| 0.2042 | 19.1268 | 9200 | 0.1795 | 7188120 |
| 0.1852 | 19.5426 | 9400 | 0.1741 | 7344760 |
| 0.1864 | 19.9584 | 9600 | 0.1731 | 7501144 |
| 0.1864 | 20.3742 | 9800 | 0.1762 | 7657160 |
| 0.1789 | 20.7900 | 10000 | 0.1731 | 7813128 |
| 0.2023 | 21.2058 | 10200 | 0.1973 | 7969880 |
| 0.1886 | 21.6216 | 10400 | 0.1759 | 8126392 |
| 0.2094 | 22.0374 | 10600 | 0.1769 | 8282480 |
| 0.1749 | 22.4532 | 10800 | 0.1802 | 8438992 |
| 0.1569 | 22.8690 | 11000 | 0.1760 | 8595376 |
| 0.1799 | 23.2848 | 11200 | 0.1762 | 8751352 |
| 0.1903 | 23.7006 | 11400 | 0.1789 | 8907960 |
| 0.1785 | 24.1164 | 11600 | 0.1732 | 9064424 |
| 0.1802 | 24.5322 | 11800 | 0.1758 | 9220456 |
| 0.1867 | 24.9480 | 12000 | 0.1889 | 9376488 |
| 0.184 | 25.3638 | 12200 | 0.1762 | 9533208 |
| 0.1826 | 25.7796 | 12400 | 0.1718 | 9689464 |
| 0.174 | 26.1954 | 12600 | 0.1694 | 9845048 |
| 0.1737 | 26.6112 | 12800 | 0.1707 | 10001784 |
| 0.1743 | 27.0270 | 13000 | 0.1727 | 10157800 |
| 0.1624 | 27.4428 | 13200 | 0.1760 | 10313128 |
| 0.1916 | 27.8586 | 13400 | 0.1812 | 10469384 |
| 0.172 | 28.2744 | 13600 | 0.1711 | 10625944 |
| 0.186 | 28.6902 | 13800 | 0.1713 | 10782456 |
| 0.1862 | 29.1060 | 14000 | 0.1763 | 10938304 |
| 0.1521 | 29.5218 | 14200 | 0.1687 | 11094528 |
| 0.1747 | 29.9376 | 14400 | 0.1739 | 11250976 |
| 0.1877 | 30.3534 | 14600 | 0.1750 | 11406672 |
| 0.1558 | 30.7692 | 14800 | 0.1678 | 11562768 |
| 0.1929 | 31.1850 | 15000 | 0.1769 | 11719016 |
| 0.1385 | 31.6008 | 15200 | 0.1810 | 11875368 |
| 0.1526 | 32.0166 | 15400 | 0.1699 | 12031048 |
| 0.1432 | 32.4324 | 15600 | 0.1799 | 12187432 |
| 0.1738 | 32.8482 | 15800 | 0.1811 | 12343432 |
| 0.1474 | 33.2640 | 16000 | 0.1961 | 12500472 |
| 0.1419 | 33.6798 | 16200 | 0.1844 | 12656248 |
| 0.1238 | 34.0956 | 16400 | 0.1820 | 12811752 |
| 0.1519 | 34.5114 | 16600 | 0.2128 | 12968104 |
| 0.1403 | 34.9272 | 16800 | 0.1748 | 13124392 |
| 0.1346 | 35.3430 | 17000 | 0.2009 | 13281144 |
| 0.1533 | 35.7588 | 17200 | 0.1861 | 13437720 |
| 0.1159 | 36.1746 | 17400 | 0.1999 | 13594448 |
| 0.1177 | 36.5904 | 17600 | 0.2015 | 13750544 |
| 0.1252 | 37.0062 | 17800 | 0.2047 | 13906304 |
| 0.1007 | 37.4220 | 18000 | 0.1954 | 14062784 |
| 0.1034 | 37.8378 | 18200 | 0.2058 | 14219168 |
| 0.1451 | 38.2536 | 18400 | 0.2479 | 14375024 |
| 0.1229 | 38.6694 | 18600 | 0.2142 | 14530800 |
| 0.1156 | 39.0852 | 18800 | 0.2563 | 14687808 |
| 0.0901 | 39.5010 | 19000 | 0.2544 | 14843360 |
| 0.1124 | 39.9168 | 19200 | 0.2212 | 14999808 |
| 0.0692 | 40.3326 | 19400 | 0.2647 | 15155496 |
| 0.0897 | 40.7484 | 19600 | 0.2470 | 15311688 |
| 0.0574 | 41.1642 | 19800 | 0.2609 | 15468264 |
| 0.0993 | 41.5800 | 20000 | 0.2509 | 15624072 |
| 0.1137 | 41.9958 | 20200 | 0.2673 | 15780456 |
| 0.0493 | 42.4116 | 20400 | 0.2795 | 15936432 |
| 0.0628 | 42.8274 | 20600 | 0.2706 | 16092272 |
| 0.0504 | 43.2432 | 20800 | 0.2714 | 16249048 |
| 0.0923 | 43.6590 | 21000 | 0.2801 | 16405368 |
| 0.0469 | 44.0748 | 21200 | 0.2986 | 16561000 |
| 0.0622 | 44.4906 | 21400 | 0.3108 | 16718312 |
| 0.0369 | 44.9064 | 21600 | 0.3106 | 16874632 |
| 0.0219 | 45.3222 | 21800 | 0.3151 | 17031680 |
| 0.0441 | 45.7380 | 22000 | 0.2985 | 17188288 |
| 0.0393 | 46.1538 | 22200 | 0.3217 | 17345048 |
| 0.0483 | 46.5696 | 22400 | 0.3248 | 17501560 |
| 0.0441 | 46.9854 | 22600 | 0.3119 | 17657336 |
| 0.021 | 47.4012 | 22800 | 0.3619 | 17813576 |
| 0.0484 | 47.8170 | 23000 | 0.3292 | 17970024 |
| 0.0212 | 48.2328 | 23200 | 0.3445 | 18126280 |
| 0.0324 | 48.6486 | 23400 | 0.3528 | 18282568 |
| 0.0211 | 49.0644 | 23600 | 0.3431 | 18438872 |
| 0.0192 | 49.4802 | 23800 | 0.3763 | 18595416 |
| 0.0395 | 49.8960 | 24000 | 0.3581 | 18751672 |
| 0.0153 | 50.3119 | 24200 | 0.3559 | 18906848 |
| 0.0156 | 50.7277 | 24400 | 0.3942 | 19064192 |
| 0.0146 | 51.1435 | 24600 | 0.3581 | 19219856 |
| 0.0072 | 51.5593 | 24800 | 0.3812 | 19376464 |
| 0.0306 | 51.9751 | 25000 | 0.3594 | 19532272 |
| 0.0183 | 52.3909 | 25200 | 0.3847 | 19688288 |
| 0.042 | 52.8067 | 25400 | 0.3807 | 19844672 |
| 0.0111 | 53.2225 | 25600 | 0.4034 | 20001552 |
| 0.0134 | 53.6383 | 25800 | 0.4040 | 20157424 |
| 0.0161 | 54.0541 | 26000 | 0.4079 | 20313440 |
| 0.0283 | 54.4699 | 26200 | 0.4114 | 20469664 |
| 0.0275 | 54.8857 | 26400 | 0.4072 | 20625984 |
| 0.0094 | 55.3015 | 26600 | 0.3832 | 20781904 |
| 0.0043 | 55.7173 | 26800 | 0.4030 | 20938512 |
| 0.0086 | 56.1331 | 27000 | 0.4173 | 21095008 |
| 0.0156 | 56.5489 | 27200 | 0.4307 | 21251264 |
| 0.0067 | 56.9647 | 27400 | 0.4135 | 21407744 |
| 0.0018 | 57.3805 | 27600 | 0.4302 | 21564560 |
| 0.0109 | 57.7963 | 27800 | 0.4219 | 21720560 |
| 0.0023 | 58.2121 | 28000 | 0.4231 | 21877024 |
| 0.0032 | 58.6279 | 28200 | 0.4331 | 22033344 |
| 0.0016 | 59.0437 | 28400 | 0.4292 | 22189872 |
| 0.0016 | 59.4595 | 28600 | 0.4532 | 22345712 |
| 0.0011 | 59.8753 | 28800 | 0.4611 | 22502352 |
| 0.0024 | 60.2911 | 29000 | 0.4540 | 22658440 |
| 0.0018 | 60.7069 | 29200 | 0.4585 | 22814056 |
| 0.0008 | 61.1227 | 29400 | 0.4533 | 22970680 |
| 0.0011 | 61.5385 | 29600 | 0.4666 | 23126776 |
| 0.0015 | 61.9543 | 29800 | 0.4590 | 23283064 |
| 0.0011 | 62.3701 | 30000 | 0.4888 | 23440000 |
| 0.011 | 62.7859 | 30200 | 0.4815 | 23596224 |
| 0.0006 | 63.2017 | 30400 | 0.4677 | 23751880 |
| 0.0008 | 63.6175 | 30600 | 0.4747 | 23907624 |
| 0.0007 | 64.0333 | 30800 | 0.4808 | 24063864 |
| 0.0008 | 64.4491 | 31000 | 0.4713 | 24219608 |
| 0.0006 | 64.8649 | 31200 | 0.4786 | 24376856 |
| 0.0014 | 65.2807 | 31400 | 0.4934 | 24533352 |
| 0.0057 | 65.6965 | 31600 | 0.4814 | 24688616 |
| 0.0138 | 66.1123 | 31800 | 0.4938 | 24844832 |
| 0.0053 | 66.5281 | 32000 | 0.5094 | 25002240 |
| 0.0098 | 66.9439 | 32200 | 0.4888 | 25158144 |
| 0.0004 | 67.3597 | 32400 | 0.5089 | 25314384 |
| 0.0022 | 67.7755 | 32600 | 0.4987 | 25470704 |
| 0.0005 | 68.1913 | 32800 | 0.5064 | 25627200 |
| 0.0005 | 68.6071 | 33000 | 0.5112 | 25783456 |
| 0.0003 | 69.0229 | 33200 | 0.5100 | 25940304 |
| 0.0072 | 69.4387 | 33400 | 0.5179 | 26096432 |
| 0.0004 | 69.8545 | 33600 | 0.5046 | 26253360 |
| 0.0055 | 70.2703 | 33800 | 0.5280 | 26408736 |
| 0.0003 | 70.6861 | 34000 | 0.5112 | 26565056 |
| 0.0011 | 71.1019 | 34200 | 0.5128 | 26721176 |
| 0.0003 | 71.5177 | 34400 | 0.5245 | 26877368 |
| 0.0004 | 71.9335 | 34600 | 0.5249 | 27033912 |
| 0.0002 | 72.3493 | 34800 | 0.5251 | 27190376 |
| 0.0003 | 72.7651 | 35000 | 0.5276 | 27347112 |
| 0.0028 | 73.1809 | 35200 | 0.5359 | 27503480 |
| 0.0003 | 73.5967 | 35400 | 0.5336 | 27660280 |
| 0.0003 | 74.0125 | 35600 | 0.5346 | 27815536 |
| 0.0056 | 74.4283 | 35800 | 0.5351 | 27971600 |
| 0.0002 | 74.8441 | 36000 | 0.5344 | 28127664 |
| 0.0002 | 75.2599 | 36200 | 0.5388 | 28284736 |
| 0.0002 | 75.6757 | 36400 | 0.5420 | 28440672 |
| 0.0002 | 76.0915 | 36600 | 0.5390 | 28596968 |
| 0.0028 | 76.5073 | 36800 | 0.5407 | 28753672 |
| 0.0035 | 76.9231 | 37000 | 0.5401 | 28909800 |
| 0.0002 | 77.3389 | 37200 | 0.5440 | 29066104 |
| 0.0002 | 77.7547 | 37400 | 0.5418 | 29222328 |
| 0.0034 | 78.1705 | 37600 | 0.5432 | 29378344 |
| 0.0002 | 78.5863 | 37800 | 0.5416 | 29534888 |
| 0.0002 | 79.0021 | 38000 | 0.5451 | 29690392 |
| 0.0002 | 79.4179 | 38200 | 0.5444 | 29846936 |
| 0.0002 | 79.8337 | 38400 | 0.5451 | 30002424 |
| 0.0002 | 80.2495 | 38600 | 0.5490 | 30158536 |
| 0.0027 | 80.6653 | 38800 | 0.5468 | 30314984 |
| 0.0002 | 81.0811 | 39000 | 0.5461 | 30471288 |
| 0.0002 | 81.4969 | 39200 | 0.5447 | 30628024 |
| 0.0002 | 81.9127 | 39400 | 0.5456 | 30784376 |
| 0.0034 | 82.3285 | 39600 | 0.5451 | 30940904 |
| 0.0002 | 82.7443 | 39800 | 0.5456 | 31097352 |
| 0.0002 | 83.1601 | 40000 | 0.5434 | 31253176 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |